Evidence map›Paper›PMID 30964814›Full record

ArticleEpidemiology (Cambridge, Mass.)2019

Gender, Depression, and Blue-collar Work: A Retrospective Cohort Study of US Aluminum Manufacturers.

Holly Elser, David H Rehkopf, Valerie Meausoone, Nicholas P Jewell, Ellen A Eisen, Mark R Cullen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Holly ElserDivision of Epidemiology, School of Public Health, University of California, Berkeley, CA.
David H RehkopfDivision of Primary Care and Population Health, Department of Medicine, School of Medicine, Stanford University, Stanford, CA.
Valerie MeausooneCenter for Population Health Sciences, Stanford University, Stanford, CA.
Nicholas P JewellDivision of Biostatistics, School of Public Health, University of California, Berkeley, CA.
Ellen A EisenDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA.
Mark R CullenCenter for Population Health Sciences, Stanford University, Stanford, CA.

Funding

Risk factors for Alzheimer's Disease and Related Dementia: Evidence from a Large Occupational CohortR01AG026291 · NIA · YALE UNIVERSITY · PI CANTLEY, LINDA, EISEN, ELLEN AURA · 2006 to 2021
$12.9M
Occupational Exposure to PM2.5 and Cardiovascular Disease(CVD)R01OH009939 · OH · STANFORD UNIVERSITY · PI CANTLEY, LINDA, CULLEN, MARK RICHARD · 2011 to 2019
$4.7M
Determinates of Depression Among Female Blue-Collar WorkersF31MH112246 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI ELSER, HOLLY · 2017 to 2019
$64k
NIA NIH HHS R01 AG026291NIMH NIH HHS F31 MH112246NIOSH CDC HHS R01 OH009939
6 · The paper itself

Abstract

backgroundIndustrial blue-collar workers face multiple work-related stressors, but evidence regarding the burden of mental illness among today's blue-collar men and women remains limited.

methodsIn this retrospective cohort study, we examined health and employment records for 37,183 blue- and white-collar workers employed by a single US aluminum manufacturer from 2003 to 2013. Using Cox proportional hazards regression, we modeled time to first episode of treated depression by gender and occupational class. Among cases, we modeled rates of depression-related service utilization with generalized gamma regression.

resultsCompared with their white-collar counterparts, blue-collar men were more likely to be treated for depression (hazard ratio [HR] = 1.3; 95% confidence interval [CI] = 1.1, 1.4) as were blue-collar women (HR = 1.4; 1.2, 1.6). Blue-collar women were most likely to be treated for depression as compared with white-collar men (HR = 3.2; 95% CI = 2.1, 5.0). However, blue-collar workers used depression-related services less frequently than their white-collar counterparts among both men (rate ratio = 0.91; 95% CI = 0.84, 0.98) and women (rate ratio = 0.82; 95% CI = 0.77, 0.88).

conclusionsBlue-collar women were more likely to be treated for depression than white-collar workers, and blue-collar women were most likely to be treated for depression compared with white-collar men. However, blue-collar men and women used depression-related healthcare services less frequently than white-collar workers. These findings underscore that blue-collar women may be uniquely susceptible to depression, and suggest that blue-collar workers may encounter barriers to care-seeking related mental illness other than their insurance status.

Indexed as

AluminumAdultDepressionFemaleHumansMaleManufacturing IndustryMiddle AgedRetrospective StudiesRisk FactorsSex DistributionUnited StatesWorkAluminum

Identifiers

PMID30964814
PMCPMC6461367

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.